Task
Supervised Classification on mozilla4

Supervised Classification on mozilla4

Task 4604 Supervised Classification mozilla4 192 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9519, f_measure: 0.9427, kappa: 0.8678, kb_relative_information_score: 123797.3342, mean_absolute_error: 0.0977, mean_prior_absolute_error: 0.4412, number_of_instances: 155450, precision: 0.9473, predictive_accuracy: 0.944, prior_entropy: 0.9135, recall: 0.944, relative_absolute_error: 0.2214, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.222, root_relative_squared_error: 0.4727, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9591, f_measure: 0.9409, kappa: 0.8636, kb_relative_information_score: 101617.9174, mean_absolute_error: 0.1713, mean_prior_absolute_error: 0.4412, number_of_instances: 155450, precision: 0.9462, predictive_accuracy: 0.9424, prior_entropy: 0.9135, recall: 0.9424, relative_absolute_error: 0.3883, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2461, root_relative_squared_error: 0.5239, scimark_benchmark: 972.587, usercpu_time_millis: 1010, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 990,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9571, f_measure: 0.9417, kappa: 0.8656, kb_relative_information_score: 122676.6488, mean_absolute_error: 0.1012, mean_prior_absolute_error: 0.4412, number_of_instances: 155450, precision: 0.9467, predictive_accuracy: 0.9431, prior_entropy: 0.9135, recall: 0.9431, relative_absolute_error: 0.2293, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2203, root_relative_squared_error: 0.469, scimark_benchmark: 931.4089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5368, f_measure: 0.5924, kappa: 0.0965, kb_relative_information_score: 42512.1528, mean_absolute_error: 0.3044, mean_prior_absolute_error: 0.4412, number_of_instances: 155450, precision: 0.7906, predictive_accuracy: 0.6956, prior_entropy: 0.9135, recall: 0.6956, relative_absolute_error: 0.6898, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.5517, root_relative_squared_error: 1.1746, scimark_benchmark: 944.1067, usercpu_time_millis: 67780, usercpu_time_millis_testing: 12960, usercpu_time_millis_training: 54820,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9684, f_measure: 0.9434, kappa: 0.8701, kb_relative_information_score: 126249.4171, mean_absolute_error: 0.0869, mean_prior_absolute_error: 0.4412, number_of_instances: 155450, precision: 0.9455, predictive_accuracy: 0.9443, prior_entropy: 0.9135, recall: 0.9443, relative_absolute_error: 0.1968, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2148, root_relative_squared_error: 0.4573, scimark_benchmark: 941.6675, usercpu_time_millis: 100, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9684, f_measure: 0.9434, kappa: 0.8701, kb_relative_information_score: 126249.4171, mean_absolute_error: 0.0869, mean_prior_absolute_error: 0.4412, number_of_instances: 155450, precision: 0.9455, predictive_accuracy: 0.9443, prior_entropy: 0.9135, recall: 0.9443, relative_absolute_error: 0.1968, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2148, root_relative_squared_error: 0.4573, scimark_benchmark: 941.6675, usercpu_time_millis: 90, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9684, f_measure: 0.9434, kappa: 0.8701, kb_relative_information_score: 126249.4171, mean_absolute_error: 0.0869, mean_prior_absolute_error: 0.4412, number_of_instances: 155450, precision: 0.9455, predictive_accuracy: 0.9443, prior_entropy: 0.9135, recall: 0.9443, relative_absolute_error: 0.1968, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2148, root_relative_squared_error: 0.4573, scimark_benchmark: 941.6675, usercpu_time_millis: 100, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9759, f_measure: 0.9488, kappa: 0.8823, kb_relative_information_score: 128708.538, mean_absolute_error: 0.0809, mean_prior_absolute_error: 0.4412, number_of_instances: 155450, precision: 0.9514, predictive_accuracy: 0.9497, prior_entropy: 0.9135, recall: 0.9497, relative_absolute_error: 0.1832, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2004, root_relative_squared_error: 0.4267, scimark_benchmark: 938.191, usercpu_time_millis: 960, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 910,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9641, f_measure: 0.9453, kappa: 0.8744, kb_relative_information_score: 126836.4086, mean_absolute_error: 0.0858, mean_prior_absolute_error: 0.4412, number_of_instances: 155450, precision: 0.9475, predictive_accuracy: 0.9462, prior_entropy: 0.9135, recall: 0.9462, relative_absolute_error: 0.1945, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2149, root_relative_squared_error: 0.4576, scimark_benchmark: 944.1067, usercpu_time_millis: 1650, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 1620,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9841, f_measure: 0.955, kappa: 0.8969, kb_relative_information_score: 131590.5342, mean_absolute_error: 0.0717, mean_prior_absolute_error: 0.4412, number_of_instances: 155450, precision: 0.9567, predictive_accuracy: 0.9556, prior_entropy: 0.9135, recall: 0.9556, relative_absolute_error: 0.1625, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.1861, root_relative_squared_error: 0.3962, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5368, f_measure: 0.5924, kappa: 0.0965, kb_relative_information_score: 42512.1528, mean_absolute_error: 0.3044, mean_prior_absolute_error: 0.4412, number_of_instances: 155450, precision: 0.7906, predictive_accuracy: 0.6956, prior_entropy: 0.9135, recall: 0.6956, relative_absolute_error: 0.6898, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.5517, root_relative_squared_error: 1.1746, scimark_benchmark: 944.1783, usercpu_time_millis: 79100, usercpu_time_millis_testing: 12630, usercpu_time_millis_training: 66470,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5368, f_measure: 0.5924, kappa: 0.0965, kb_relative_information_score: 42512.1528, mean_absolute_error: 0.3044, mean_prior_absolute_error: 0.4412, number_of_instances: 155450, precision: 0.7906, predictive_accuracy: 0.6956, prior_entropy: 0.9135, recall: 0.6956, relative_absolute_error: 0.6898, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.5517, root_relative_squared_error: 1.1746, scimark_benchmark: 944.1783, usercpu_time_millis: 98950, usercpu_time_millis_testing: 12740, usercpu_time_millis_training: 86210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9652, f_measure: 0.9346, kappa: 0.8506, kb_relative_information_score: 123783.3617, mean_absolute_error: 0.0919, mean_prior_absolute_error: 0.4412, number_of_instances: 155450, precision: 0.9352, predictive_accuracy: 0.9353, prior_entropy: 0.9135, recall: 0.9353, relative_absolute_error: 0.2083, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2275, root_relative_squared_error: 0.4843, scimark_benchmark: 932.438, usercpu_time_millis: 100, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9684, f_measure: 0.9434, kappa: 0.8701, kb_relative_information_score: 126249.4171, mean_absolute_error: 0.0869, mean_prior_absolute_error: 0.4412, number_of_instances: 155450, precision: 0.9455, predictive_accuracy: 0.9443, prior_entropy: 0.9135, recall: 0.9443, relative_absolute_error: 0.1968, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2148, root_relative_squared_error: 0.4573, scimark_benchmark: 947.1781, usercpu_time_millis: 90, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9841, f_measure: 0.955, kappa: 0.8969, kb_relative_information_score: 131590.5342, mean_absolute_error: 0.0717, mean_prior_absolute_error: 0.4412, number_of_instances: 155450, precision: 0.9567, predictive_accuracy: 0.9556, prior_entropy: 0.9135, recall: 0.9556, relative_absolute_error: 0.1625, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.1861, root_relative_squared_error: 0.3962, scimark_benchmark: 947.1781, usercpu_time_millis: 6010, usercpu_time_millis_testing: 810, usercpu_time_millis_training: 5200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9519, f_measure: 0.9427, kappa: 0.8678, kb_relative_information_score: 123797.3342, mean_absolute_error: 0.0977, mean_prior_absolute_error: 0.4412, number_of_instances: 155450, precision: 0.9473, predictive_accuracy: 0.944, prior_entropy: 0.9135, recall: 0.944, relative_absolute_error: 0.2214, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.222, root_relative_squared_error: 0.4727, scimark_benchmark: 942.2392, usercpu_time_millis: 100, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9591, f_measure: 0.9409, kappa: 0.8636, kb_relative_information_score: 101617.9174, mean_absolute_error: 0.1713, mean_prior_absolute_error: 0.4412, number_of_instances: 155450, precision: 0.9462, predictive_accuracy: 0.9424, prior_entropy: 0.9135, recall: 0.9424, relative_absolute_error: 0.3883, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2461, root_relative_squared_error: 0.5239, scimark_benchmark: 901.6243, usercpu_time_millis: 700, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 670,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9571, f_measure: 0.9417, kappa: 0.8656, kb_relative_information_score: 122676.6488, mean_absolute_error: 0.1012, mean_prior_absolute_error: 0.4412, number_of_instances: 155450, precision: 0.9467, predictive_accuracy: 0.9431, prior_entropy: 0.9135, recall: 0.9431, relative_absolute_error: 0.2293, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2203, root_relative_squared_error: 0.469, scimark_benchmark: 944.0133, usercpu_time_millis: 1610, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 1590,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5368, f_measure: 0.5924, kappa: 0.0965, kb_relative_information_score: 42512.1528, mean_absolute_error: 0.3044, mean_prior_absolute_error: 0.4412, number_of_instances: 155450, precision: 0.7906, predictive_accuracy: 0.6956, prior_entropy: 0.9135, recall: 0.6956, relative_absolute_error: 0.6898, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.5517, root_relative_squared_error: 1.1746, scimark_benchmark: 941.7976, usercpu_time_millis: 90510, usercpu_time_millis_testing: 12320, usercpu_time_millis_training: 78190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5368, f_measure: 0.5924, kappa: 0.0965, kb_relative_information_score: 42512.1528, mean_absolute_error: 0.3044, mean_prior_absolute_error: 0.4412, number_of_instances: 155450, precision: 0.7906, predictive_accuracy: 0.6956, prior_entropy: 0.9135, recall: 0.6956, relative_absolute_error: 0.6898, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.5517, root_relative_squared_error: 1.1746, scimark_benchmark: 943.6618, usercpu_time_millis: 68520, usercpu_time_millis_testing: 12560, usercpu_time_millis_training: 55960,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9652, f_measure: 0.9346, kappa: 0.8506, kb_relative_information_score: 123783.3617, mean_absolute_error: 0.0919, mean_prior_absolute_error: 0.4412, number_of_instances: 155450, precision: 0.9352, predictive_accuracy: 0.9353, prior_entropy: 0.9135, recall: 0.9353, relative_absolute_error: 0.2083, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2275, root_relative_squared_error: 0.4843, scimark_benchmark: 938.1282, usercpu_time_millis: 100, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9684, f_measure: 0.9434, kappa: 0.8701, kb_relative_information_score: 126249.4171, mean_absolute_error: 0.0869, mean_prior_absolute_error: 0.4412, number_of_instances: 155450, precision: 0.9455, predictive_accuracy: 0.9443, prior_entropy: 0.9135, recall: 0.9443, relative_absolute_error: 0.1968, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2148, root_relative_squared_error: 0.4573, scimark_benchmark: 938.1282, usercpu_time_millis: 90, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9684, f_measure: 0.9434, kappa: 0.8701, kb_relative_information_score: 126249.4171, mean_absolute_error: 0.0869, mean_prior_absolute_error: 0.4412, number_of_instances: 155450, precision: 0.9455, predictive_accuracy: 0.9443, prior_entropy: 0.9135, recall: 0.9443, relative_absolute_error: 0.1968, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2148, root_relative_squared_error: 0.4573, scimark_benchmark: 930.404, usercpu_time_millis: 90, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9684, f_measure: 0.9434, kappa: 0.8701, kb_relative_information_score: 126249.4171, mean_absolute_error: 0.0869, mean_prior_absolute_error: 0.4412, number_of_instances: 155450, precision: 0.9455, predictive_accuracy: 0.9443, prior_entropy: 0.9135, recall: 0.9443, relative_absolute_error: 0.1968, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2148, root_relative_squared_error: 0.4573, scimark_benchmark: 933.3455, usercpu_time_millis: 100, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9759, f_measure: 0.9488, kappa: 0.8823, kb_relative_information_score: 128708.538, mean_absolute_error: 0.0809, mean_prior_absolute_error: 0.4412, number_of_instances: 155450, precision: 0.9514, predictive_accuracy: 0.9497, prior_entropy: 0.9135, recall: 0.9497, relative_absolute_error: 0.1832, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2004, root_relative_squared_error: 0.4267, scimark_benchmark: 930.404, usercpu_time_millis: 670, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 630,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9684, f_measure: 0.9434, kappa: 0.8701, kb_relative_information_score: 126249.4171, mean_absolute_error: 0.0869, mean_prior_absolute_error: 0.4412, number_of_instances: 155450, precision: 0.9455, predictive_accuracy: 0.9443, prior_entropy: 0.9135, recall: 0.9443, relative_absolute_error: 0.1968, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2148, root_relative_squared_error: 0.4573, scimark_benchmark: 936.9595, usercpu_time_millis: 100, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9841, f_measure: 0.955, kappa: 0.8969, kb_relative_information_score: 131590.5342, mean_absolute_error: 0.0717, mean_prior_absolute_error: 0.4412, number_of_instances: 155450, precision: 0.9567, predictive_accuracy: 0.9556, prior_entropy: 0.9135, recall: 0.9556, relative_absolute_error: 0.1625, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.1861, root_relative_squared_error: 0.3962, scimark_benchmark: 901.4991, usercpu_time_millis: 6560, usercpu_time_millis_testing: 1120, usercpu_time_millis_training: 5440,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9706, f_measure: 0.9302, kappa: 0.8405, kb_relative_information_score: 114341.3406, mean_absolute_error: 0.1274, mean_prior_absolute_error: 0.4412, number_of_instances: 155450, precision: 0.9304, predictive_accuracy: 0.9307, prior_entropy: 0.9135, recall: 0.9307, relative_absolute_error: 0.2887, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2323, root_relative_squared_error: 0.4945, scimark_benchmark: 926.5462, usercpu_time_millis: 108870, usercpu_time_millis_testing: 22340, usercpu_time_millis_training: 86530,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9703, f_measure: 0.9301, kappa: 0.8405, kb_relative_information_score: 114283.8157, mean_absolute_error: 0.1275, mean_prior_absolute_error: 0.4412, number_of_instances: 155450, precision: 0.9304, predictive_accuracy: 0.9307, prior_entropy: 0.9135, recall: 0.9307, relative_absolute_error: 0.289, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2326, root_relative_squared_error: 0.4953, scimark_benchmark: 851.2074, usercpu_time_millis: 79680, usercpu_time_millis_testing: 5870, usercpu_time_millis_training: 73810,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9696, f_measure: 0.9298, kappa: 0.8399, kb_relative_information_score: 114141.8798, mean_absolute_error: 0.1279, mean_prior_absolute_error: 0.4412, number_of_instances: 155450, precision: 0.9301, predictive_accuracy: 0.9304, prior_entropy: 0.9135, recall: 0.9304, relative_absolute_error: 0.2898, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2336, root_relative_squared_error: 0.4973, scimark_benchmark: 938.4601, usercpu_time_millis: 25250, usercpu_time_millis_testing: 2150, usercpu_time_millis_training: 23100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9684, f_measure: 0.9294, kappa: 0.8388, kb_relative_information_score: 114138.8371, mean_absolute_error: 0.1276, mean_prior_absolute_error: 0.4412, number_of_instances: 155450, precision: 0.9296, predictive_accuracy: 0.9299, prior_entropy: 0.9135, recall: 0.9299, relative_absolute_error: 0.2893, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2346, root_relative_squared_error: 0.4994, scimark_benchmark: 930.2337, usercpu_time_millis: 11500, usercpu_time_millis_testing: 1070, usercpu_time_millis_training: 10430,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9664, f_measure: 0.9281, kappa: 0.8361, kb_relative_information_score: 113773.6039, mean_absolute_error: 0.1283, mean_prior_absolute_error: 0.4412, number_of_instances: 155450, precision: 0.9283, predictive_accuracy: 0.9287, prior_entropy: 0.9135, recall: 0.9287, relative_absolute_error: 0.2908, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2371, root_relative_squared_error: 0.5047, scimark_benchmark: 941.8684, usercpu_time_millis: 6180, usercpu_time_millis_testing: 490, usercpu_time_millis_training: 5690,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9425, f_measure: 0.9323, kappa: 0.8434, kb_relative_information_score: 118467.9057, mean_absolute_error: 0.1131, mean_prior_absolute_error: 0.4412, number_of_instances: 155450, precision: 0.9402, predictive_accuracy: 0.9344, prior_entropy: 0.9135, recall: 0.9344, relative_absolute_error: 0.2564, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2386, root_relative_squared_error: 0.508, scimark_benchmark: 926.5859, usercpu_time_millis: 150, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9425, f_measure: 0.9323, kappa: 0.8434, kb_relative_information_score: 118467.9057, mean_absolute_error: 0.1131, mean_prior_absolute_error: 0.4412, number_of_instances: 155450, precision: 0.9402, predictive_accuracy: 0.9344, prior_entropy: 0.9135, recall: 0.9344, relative_absolute_error: 0.2564, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2386, root_relative_squared_error: 0.508, scimark_benchmark: 938.3115, usercpu_time_millis: 150, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 140,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9425, f_measure: 0.9323, kappa: 0.8434, kb_relative_information_score: 118467.9057, mean_absolute_error: 0.1131, mean_prior_absolute_error: 0.4412, number_of_instances: 155450, precision: 0.9402, predictive_accuracy: 0.9344, prior_entropy: 0.9135, recall: 0.9344, relative_absolute_error: 0.2564, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2386, root_relative_squared_error: 0.508, scimark_benchmark: 941.9549, usercpu_time_millis: 140, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 130,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9684, f_measure: 0.9434, kappa: 0.8701, kb_relative_information_score: 126249.4171, mean_absolute_error: 0.0869, mean_prior_absolute_error: 0.4412, number_of_instances: 155450, precision: 0.9455, predictive_accuracy: 0.9443, prior_entropy: 0.9135, recall: 0.9443, relative_absolute_error: 0.1968, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2148, root_relative_squared_error: 0.4573, scimark_benchmark: 1340.9749, usercpu_time_millis: 70, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9652, f_measure: 0.9346, kappa: 0.8506, kb_relative_information_score: 123783.3617, mean_absolute_error: 0.0919, mean_prior_absolute_error: 0.4412, number_of_instances: 155450, precision: 0.9352, predictive_accuracy: 0.9353, prior_entropy: 0.9135, recall: 0.9353, relative_absolute_error: 0.2083, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2275, root_relative_squared_error: 0.4843, scimark_benchmark: 1349.1517, usercpu_time_millis: 90, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9684, f_measure: 0.9434, kappa: 0.8701, kb_relative_information_score: 126249.4171, mean_absolute_error: 0.0869, mean_prior_absolute_error: 0.4412, number_of_instances: 155450, precision: 0.9455, predictive_accuracy: 0.9443, prior_entropy: 0.9135, recall: 0.9443, relative_absolute_error: 0.1968, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2148, root_relative_squared_error: 0.4573, scimark_benchmark: 1349.1517, usercpu_time_millis: 80, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9684, f_measure: 0.9434, kappa: 0.8701, kb_relative_information_score: 126249.4171, mean_absolute_error: 0.0869, mean_prior_absolute_error: 0.4412, number_of_instances: 155450, precision: 0.9455, predictive_accuracy: 0.9443, prior_entropy: 0.9135, recall: 0.9443, relative_absolute_error: 0.1968, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2148, root_relative_squared_error: 0.4573, scimark_benchmark: 1350.2591, usercpu_time_millis: 70, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9684, f_measure: 0.9434, kappa: 0.8701, kb_relative_information_score: 126249.4171, mean_absolute_error: 0.0869, mean_prior_absolute_error: 0.4412, number_of_instances: 155450, precision: 0.9455, predictive_accuracy: 0.9443, prior_entropy: 0.9135, recall: 0.9443, relative_absolute_error: 0.1968, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2148, root_relative_squared_error: 0.4573, scimark_benchmark: 1306.9281, usercpu_time_millis: 60, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9652, f_measure: 0.9346, kappa: 0.8506, kb_relative_information_score: 123783.3617, mean_absolute_error: 0.0919, mean_prior_absolute_error: 0.4412, number_of_instances: 155450, precision: 0.9352, predictive_accuracy: 0.9353, prior_entropy: 0.9135, recall: 0.9353, relative_absolute_error: 0.2083, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2275, root_relative_squared_error: 0.4843, scimark_benchmark: 1316.5668, usercpu_time_millis: 90, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9684, f_measure: 0.9434, kappa: 0.8701, kb_relative_information_score: 126249.4171, mean_absolute_error: 0.0869, mean_prior_absolute_error: 0.4412, number_of_instances: 155450, precision: 0.9455, predictive_accuracy: 0.9443, prior_entropy: 0.9135, recall: 0.9443, relative_absolute_error: 0.1968, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2148, root_relative_squared_error: 0.4573, scimark_benchmark: 1322.3407, usercpu_time_millis: 90, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9684, f_measure: 0.9434, kappa: 0.8701, kb_relative_information_score: 126249.4171, mean_absolute_error: 0.0869, mean_prior_absolute_error: 0.4412, number_of_instances: 155450, precision: 0.9455, predictive_accuracy: 0.9443, prior_entropy: 0.9135, recall: 0.9443, relative_absolute_error: 0.1968, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2148, root_relative_squared_error: 0.4573, scimark_benchmark: 1310.6554, usercpu_time_millis: 70, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9684, f_measure: 0.9434, kappa: 0.8701, kb_relative_information_score: 126249.4171, mean_absolute_error: 0.0869, mean_prior_absolute_error: 0.4412, number_of_instances: 155450, precision: 0.9455, predictive_accuracy: 0.9443, prior_entropy: 0.9135, recall: 0.9443, relative_absolute_error: 0.1968, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2148, root_relative_squared_error: 0.4573, scimark_benchmark: 1321.8321, usercpu_time_millis: 70, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9684, f_measure: 0.9434, kappa: 0.8701, kb_relative_information_score: 126249.4171, mean_absolute_error: 0.0869, mean_prior_absolute_error: 0.4412, number_of_instances: 155450, precision: 0.9455, predictive_accuracy: 0.9443, prior_entropy: 0.9135, recall: 0.9443, relative_absolute_error: 0.1968, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2148, root_relative_squared_error: 0.4573, scimark_benchmark: 1354.5533, usercpu_time_millis: 70, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9652, f_measure: 0.9346, kappa: 0.8506, kb_relative_information_score: 123783.3617, mean_absolute_error: 0.0919, mean_prior_absolute_error: 0.4412, number_of_instances: 155450, precision: 0.9352, predictive_accuracy: 0.9353, prior_entropy: 0.9135, recall: 0.9353, relative_absolute_error: 0.2083, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2275, root_relative_squared_error: 0.4843, scimark_benchmark: 1327.3335, usercpu_time_millis: 90, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9641, f_measure: 0.9453, kappa: 0.8744, kb_relative_information_score: 126836.4086, mean_absolute_error: 0.0858, mean_prior_absolute_error: 0.4412, number_of_instances: 155450, precision: 0.9475, predictive_accuracy: 0.9462, prior_entropy: 0.9135, recall: 0.9462, relative_absolute_error: 0.1945, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2149, root_relative_squared_error: 0.4576, scimark_benchmark: 1322.1893, usercpu_time_millis: 1390, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 1340,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9841, f_measure: 0.955, kappa: 0.8969, kb_relative_information_score: 131590.5342, mean_absolute_error: 0.0717, mean_prior_absolute_error: 0.4412, number_of_instances: 155450, precision: 0.9567, predictive_accuracy: 0.9556, prior_entropy: 0.9135, recall: 0.9556, relative_absolute_error: 0.1625, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.1861, root_relative_squared_error: 0.3962, scimark_benchmark: 1358.6198, usercpu_time_millis: 5170, usercpu_time_millis_testing: 570, usercpu_time_millis_training: 4600,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9841, f_measure: 0.955, kappa: 0.8969, kb_relative_information_score: 131590.5342, mean_absolute_error: 0.0717, mean_prior_absolute_error: 0.4412, number_of_instances: 155450, precision: 0.9567, predictive_accuracy: 0.9556, prior_entropy: 0.9135, recall: 0.9556, relative_absolute_error: 0.1625, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.1861, root_relative_squared_error: 0.3962, scimark_benchmark: 1309.0674, usercpu_time_millis: 5060, usercpu_time_millis_testing: 520, usercpu_time_millis_training: 4540,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9571, f_measure: 0.9417, kappa: 0.8656, kb_relative_information_score: 122676.6488, mean_absolute_error: 0.1012, mean_prior_absolute_error: 0.4412, number_of_instances: 155450, precision: 0.9467, predictive_accuracy: 0.9431, prior_entropy: 0.9135, recall: 0.9431, relative_absolute_error: 0.2293, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2203, root_relative_squared_error: 0.469, scimark_benchmark: 1322.806, usercpu_time_millis: 1880, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1870,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9595, f_measure: 0.9455, kappa: 0.8749, kb_relative_information_score: 115909.4666, mean_absolute_error: 0.1288, mean_prior_absolute_error: 0.4412, number_of_instances: 155450, precision: 0.9478, predictive_accuracy: 0.9464, prior_entropy: 0.9135, recall: 0.9464, relative_absolute_error: 0.2919, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2236, root_relative_squared_error: 0.476, scimark_benchmark: 1345.7919, usercpu_time_millis: 4420, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 4400,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5368, f_measure: 0.5924, kappa: 0.0965, kb_relative_information_score: 42512.1528, mean_absolute_error: 0.3044, mean_prior_absolute_error: 0.4412, number_of_instances: 155450, precision: 0.7906, predictive_accuracy: 0.6956, prior_entropy: 0.9135, recall: 0.6956, relative_absolute_error: 0.6898, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.5517, root_relative_squared_error: 1.1746, scimark_benchmark: 1247.7354, usercpu_time_millis: 498250, usercpu_time_millis_testing: 111380, usercpu_time_millis_training: 386870,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5368, f_measure: 0.5924, kappa: 0.0965, kb_relative_information_score: 42512.1528, mean_absolute_error: 0.3044, mean_prior_absolute_error: 0.4412, number_of_instances: 155450, precision: 0.7906, predictive_accuracy: 0.6956, prior_entropy: 0.9135, recall: 0.6956, relative_absolute_error: 0.6898, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.5517, root_relative_squared_error: 1.1746, scimark_benchmark: 1333.0982, usercpu_time_millis: 497510, usercpu_time_millis_testing: 108890, usercpu_time_millis_training: 388620,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9652, f_measure: 0.9346, kappa: 0.8506, kb_relative_information_score: 123783.3617, mean_absolute_error: 0.0919, mean_prior_absolute_error: 0.4412, number_of_instances: 155450, precision: 0.9352, predictive_accuracy: 0.9353, prior_entropy: 0.9135, recall: 0.9353, relative_absolute_error: 0.2083, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2275, root_relative_squared_error: 0.4843, scimark_benchmark: 1396.1629, usercpu_time_millis: 70, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9684, f_measure: 0.9434, kappa: 0.8701, kb_relative_information_score: 126249.4171, mean_absolute_error: 0.0869, mean_prior_absolute_error: 0.4412, number_of_instances: 155450, precision: 0.9455, predictive_accuracy: 0.9443, prior_entropy: 0.9135, recall: 0.9443, relative_absolute_error: 0.1968, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2148, root_relative_squared_error: 0.4573, scimark_benchmark: 1342.6744, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9684, f_measure: 0.9434, kappa: 0.8701, kb_relative_information_score: 126249.4171, mean_absolute_error: 0.0869, mean_prior_absolute_error: 0.4412, number_of_instances: 155450, precision: 0.9455, predictive_accuracy: 0.9443, prior_entropy: 0.9135, recall: 0.9443, relative_absolute_error: 0.1968, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2148, root_relative_squared_error: 0.4573, scimark_benchmark: 1303.9481, usercpu_time_millis: 80, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9841, f_measure: 0.955, kappa: 0.8969, kb_relative_information_score: 131590.5342, mean_absolute_error: 0.0717, mean_prior_absolute_error: 0.4412, number_of_instances: 155450, precision: 0.9567, predictive_accuracy: 0.9556, prior_entropy: 0.9135, recall: 0.9556, relative_absolute_error: 0.1625, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.1861, root_relative_squared_error: 0.3962, scimark_benchmark: 1313.8988, usercpu_time_millis: 5230, usercpu_time_millis_testing: 580, usercpu_time_millis_training: 4650,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9519, f_measure: 0.9427, kappa: 0.8678, kb_relative_information_score: 123797.3342, mean_absolute_error: 0.0977, mean_prior_absolute_error: 0.4412, number_of_instances: 155450, precision: 0.9473, predictive_accuracy: 0.944, prior_entropy: 0.9135, recall: 0.944, relative_absolute_error: 0.2214, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.222, root_relative_squared_error: 0.4727, scimark_benchmark: 1348.2804, usercpu_time_millis: 90, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9684, f_measure: 0.9434, kappa: 0.8701, kb_relative_information_score: 126249.4171, mean_absolute_error: 0.0869, mean_prior_absolute_error: 0.4412, number_of_instances: 155450, precision: 0.9455, predictive_accuracy: 0.9443, prior_entropy: 0.9135, recall: 0.9443, relative_absolute_error: 0.1968, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2148, root_relative_squared_error: 0.4573, scimark_benchmark: 1343.3311, usercpu_time_millis: 60, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9684, f_measure: 0.9434, kappa: 0.8701, kb_relative_information_score: 126249.4171, mean_absolute_error: 0.0869, mean_prior_absolute_error: 0.4412, number_of_instances: 155450, precision: 0.9455, predictive_accuracy: 0.9443, prior_entropy: 0.9135, recall: 0.9443, relative_absolute_error: 0.1968, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2148, root_relative_squared_error: 0.4573, scimark_benchmark: 1347.993, usercpu_time_millis: 70, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8868, f_measure: 0.8512, kappa: 0.6649, kb_relative_information_score: 62147.8403, mean_absolute_error: 0.2727, mean_prior_absolute_error: 0.4412, number_of_instances: 155450, precision: 0.8525, predictive_accuracy: 0.8504, prior_entropy: 0.9135, recall: 0.8504, relative_absolute_error: 0.6181, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.3585, root_relative_squared_error: 0.7631, scimark_benchmark: 1322.7257, usercpu_time_millis: 130650, usercpu_time_millis_testing: 5770, usercpu_time_millis_training: 124880,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9641, f_measure: 0.9453, kappa: 0.8744, kb_relative_information_score: 126836.4086, mean_absolute_error: 0.0858, mean_prior_absolute_error: 0.4412, number_of_instances: 155450, precision: 0.9475, predictive_accuracy: 0.9462, prior_entropy: 0.9135, recall: 0.9462, relative_absolute_error: 0.1945, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2149, root_relative_squared_error: 0.4576, scimark_benchmark: 942.9708, usercpu_time_millis: 1710, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 1680,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9841, f_measure: 0.955, kappa: 0.8969, kb_relative_information_score: 131590.5342, mean_absolute_error: 0.0717, mean_prior_absolute_error: 0.4412, number_of_instances: 155450, precision: 0.9567, predictive_accuracy: 0.9556, prior_entropy: 0.9135, recall: 0.9556, relative_absolute_error: 0.1625, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.1861, root_relative_squared_error: 0.3962, scimark_benchmark: 1278.6629, usercpu_time_millis: 6530, usercpu_time_millis_testing: 970, usercpu_time_millis_training: 5560,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9684, f_measure: 0.9434, kappa: 0.8701, kb_relative_information_score: 126249.4171, mean_absolute_error: 0.0869, mean_prior_absolute_error: 0.4412, number_of_instances: 155450, precision: 0.9455, predictive_accuracy: 0.9443, prior_entropy: 0.9135, recall: 0.9443, relative_absolute_error: 0.1968, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2148, root_relative_squared_error: 0.4573, scimark_benchmark: 1341.5795, usercpu_time_millis: 70, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 50,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

OpenML bootcamp

From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs